%0 Journal Article
%T Identifiablity and Identification Algorithms for Non-minimum-phase Linear Systems--non-stationary Input Case<br>非最小相位线性系统的可辨识性及辨识方法——非平稳输入
%A Wang Ying
%A Yan Pingfan
%A <br>王英
%A 阎平凡
%J 自动化学报
%D 1995
%I 
%X This paper discusses the identifyability and identification algorithms for the non-minimum-phase linear system with unmeasurable non-stationary input. General results are given and are compared with the conclusions under stationary inputs. If the initial state of the system is zero and the input is one-sided white noise, the input and output of the system are approximately stationary. This is a special case for non-stationary processes. The results obtained for this special case solving are more practical for solving the problem of the unique recovery of the impulse response from amplitude spectrum.
%K stochastic systems
%K system identification
%K deconvolution<br>系统辨识
%K 反褶积
%K 线性系统
%K 可辨识性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=0CBCD514A4BC69C583FFB02FA0F7F850&yid=BBCD5003575B2B5F&vid=659D3B06EBF534A7&iid=CA4FD0336C81A37A&sid=BCA2697F357F2001&eid=B91E8C6D6FE990DB&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=5